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3d Vision in Deep Learning Approaches On Assisted Reproductive Technologies of IVF

Year: 2025

Type: article

Abstract: In vitro fertilization IVF is an important assisted reproductive technology ART that relies on accurate embryo assessment and follicle tracking to improve success rates. Recent advances in deep learning and 3D visualization have provided promising solutions to automate and improve both embryo and follicle assessment.

Source: Sylwan

DOI: 10.59879/rolg5

Authors: J. Deepa, A. Akila

Institution: Vels University

Language: English

Topic: Reproductive Biology and Fertility

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

Open Access status: bronze

OpenAlex ID: W4409450029

FWCI:

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